Shapellm: Universal 3d object understanding for embodied interaction
This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM)
designed for embodied interaction, exploring a universal 3D object understanding with 3D …
designed for embodied interaction, exploring a universal 3D object understanding with 3D …
Remos: 3d motion-conditioned reaction synthesis for two-person interactions
Current approaches for 3D human motion synthesis generate high-quality animations of
digital humans performing a wide variety of actions and gestures. However, a notable …
digital humans performing a wide variety of actions and gestures. However, a notable …
Diffh2o: Diffusion-based synthesis of hand-object interactions from textual descriptions
We introduce DiffH2O, a new diffusion-based framework for synthesizing realistic, dexterous
hand-object interactions from natural language. Our model employs a temporal two-stage …
hand-object interactions from natural language. Our model employs a temporal two-stage …
Grasping diverse objects with simulated humanoids
We present a method for controlling a simulated humanoid to grasp an object and move it to
follow an object trajectory. Due to the challenges in controlling a humanoid with dexterous …
follow an object trajectory. Due to the challenges in controlling a humanoid with dexterous …
3D Whole-body Grasp Synthesis with Directional Controllability
Synthesizing 3D whole-bodies that realistically grasp objects is useful for animation, mixed
reality, and robotics. This is challenging, because the hands and body need to look natural …
reality, and robotics. This is challenging, because the hands and body need to look natural …
ManiDext: Hand-Object Manipulation Synthesis via Continuous Correspondence Embeddings and Residual-Guided Diffusion
Dynamic and dexterous manipulation of objects presents a complex challenge, requiring the
synchronization of hand motions with the trajectories of objects to achieve seamless and …
synchronization of hand motions with the trajectories of objects to achieve seamless and …
Human-object interaction from human-level instructions
Z Wu, J Li, CK Liu - arXiv preprint arXiv:2406.17840, 2024 - arxiv.org
Intelligent agents need to autonomously navigate and interact within contextual
environments to perform a wide range of daily tasks based on human-level instructions …
environments to perform a wide range of daily tasks based on human-level instructions …
Learning Context with Priors for 3D Interacting Hand-Object Pose Estimation
Z Kuang, C Ding, H Yao - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
Achieving 3D hand-object pose estimation in interaction scenarios is challenging due to the
severe occlusion generated during the interaction. Existing methods address this issue by …
severe occlusion generated during the interaction. Existing methods address this issue by …
[HTML][HTML] Learning 3D human–object interaction graphs from transferable context knowledge for construction monitoring
L Xie, S Misra, N Suresh, J Soza-Soto, T Furuhata… - Computers in …, 2025 - Elsevier
We propose a novel framework for detecting 3D human–object interactions (HOI) in
construction sites and a toolkit for generating construction-related human–object interaction …
construction sites and a toolkit for generating construction-related human–object interaction …
ManiVideo: Generating Hand-Object Manipulation Video with Dexterous and Generalizable Grasping
In this paper, we introduce ManiVideo, a novel method for generating consistent and
temporally coherent bimanual hand-object manipulation videos from given motion …
temporally coherent bimanual hand-object manipulation videos from given motion …